Method and system for monitoring and early warning experimental device based on artificial intelligence

An experimental device and artificial intelligence technology, applied in closed-circuit television systems, neural learning methods, alarms, etc., to achieve the effects of timely stop loss, accurate monitoring and early warning, and guarantee of personal safety

Active Publication Date: 2020-07-28
HARBIN INST OF TECH
View PDF7 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method and system for monitoring and early warning of

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for monitoring and early warning experimental device based on artificial intelligence
  • Method and system for monitoring and early warning experimental device based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0041] In this embodiment, the system and method for monitoring and early warning of experimental devices using the above-mentioned artificial intelligence is used to monitor and warn the laboratory, and the basic experimental data and monitoring video data are collected by the data acquisition unit; the basic experimental data includes security Monitoring data, experimental environment data, experimental equipment status data and reverse control equipment status data; wherein the monitoring video data is collected through network cameras in key areas such as inside the laboratory, the public area of ​​the experiment, and the experimenter's office. The area is monitored, and the data is uploaded to the data center in real time; the collection of the safety monitoring data is the safety monitoring probe, measuring the radiation intensity, etc., and the priority of this kind of data will be the highest, and it will go through the layers of authority and go straight to the command ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method and a system for monitoring and early warning an experimental device based on artificial intelligence, and the method comprises the steps: judging the type of an accident according to monitoring contents, and giving an early warning to an administrator; and making and providing auxiliary decisions and intelligent control decisions for laboratory managers and central control center managers. According to the invention, the influence of the current state of the experimental device and the abnormal experimental data on the laboratory safety is considered, the monitoring range is more comprehensive, and the monitoring and early warning accuracy is more accurate; the artificial intelligence technology is introduced into the experiment monitoring and early warning process, automatic early warning can be conducted on accidents which do not happen on the basis of historical data, auxiliary decisions can be given, automatic control can be conducted in time in emergency, damage can be stopped in time, and personal safety can be guaranteed; in addition, various early warning modes such as a mobile phone, an intelligent wearable device, a voice alarm and a large monitoring screen are adopted, and an administrator can be assisted in quickly making a response.

Description

technical field [0001] The invention relates to the field of intelligent security, in particular to a method and system for monitoring and early warning of experimental devices based on artificial intelligence. Background technique [0002] In the existing technology, the monitoring of high-risk laboratories is realized through the deployment structure and sensors of the laboratory. The monitoring status equipment includes: camera, experimental environment monitoring, high-risk instrument monitoring, infrastructure monitoring, monitoring service center, mobile terminal; monitoring service The center detects infrastructure, high-risk instruments, experimental environment and video surveillance to monitor laboratory accidents, and transmits the test results to mobile terminals for notification and display. In the existing technology, the state of the experimental equipment and the abnormality of the experimental data are not divided into the factors affecting the safety of the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04N7/18G08B21/00G06K9/00G06F16/51G06N3/04G06N3/08
CPCH04N7/18G08B21/00G06F16/51G06N3/08G06V20/41G06N3/045
Inventor 谭立国宋申民鄂鹏王晓野
Owner HARBIN INST OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap